Labels Matter More Than Models: Rethinking the Unsupervised Paradigm in Time Series Anomaly Detection
arXiv:2511.16145v2 Announce Type: replace
Abstract: Time series anomaly detection (TSAD) is a critical data mining task often constrained by label scarcity. Consequently, current research predominantly focuses on Unsupervised Time-series Anomaly Detec…